Alerting Download overview
Alerting examples
Watcher job to integrate ChatGPT in Elasticsearch
Watcher job to integrate ChatGPT API from OpenAI in Elasticsearch. Helpful to find solutions for error messages very quick.
Kibana alerting enhancement
This bundle enhances the Kibana alerting experience. Storing all relevant information in indices and visualize the data in dashboards.
Watch to move older Elasticsearch indices into freezed state
This watch is moving time based indices into the frozen state.
Watch to detect large shards
This watch is getting data from the Elasticsearch shards API directly and checking for large shards.
Watch for changes in IOWaits
A watch which alerts if the time spent by a hosts CPU in IOWait, has increased by more than than N% in the last Y mins.
Uptime watch using Heartbeat data
This watch checks the availability of your Heartbeat observed services. It will trigger an alert whenever at least one of your services is down.
More about Alerting
Alerting within in ELK Stack or better call it the Elastic Stack is easy. Elastic offers a couple of different ways to make alerting possible.
The first option is to use Kibana Alerts and Actions:
Kibana Alerts allow you to detect complex conditions in different Kibana applications and trigger actions when these conditions are met. Alerts are integrated with observability, security, maps, and machine learning, can be centrally managed from the management UI, and provide a set of built-in actions and alerts (called stack alerts) for your use.
Another option is using Watcher:
Watcher is built in and executed within Elasticsearch. It is a very powerful JSON defined way to built alerting and automization jobs. However its not pretty intuitive how to start in an advanced watcher job.
In this section you can download watcher and other alerting examples based on the ELK stack.